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Esfandiar Mohammadi
Person information
- affiliation: University of Lübeck, Germany
- affiliation (former): Saarland University, Saarbrücken, Germany
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2020 – today
- 2024
- [c21]Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, Aniket Kate:
Divide and Funnel: A Scaling Technique for Mix-Networks. CSF 2024: 49-64 - [c20]Max Schulze, Yorck Zisgen, Moritz Kirschte, Esfandiar Mohammadi, Agnes Koschmider:
Differentially Private Inductive Miner. ICPM 2024: 89-96 - [i19]Max Schulze, Yorck Zisgen, Moritz Kirschte
, Esfandiar Mohammadi, Agnes Koschmider:
Differentially Private Inductive Miner. CoRR abs/2407.04595 (2024) - 2023
- [c19]Nele Sophie Brügge, Esfandiar Mohammadi, Alexander Münchau, Tobias Bäumer, Christian Frings, Christian Beste
Towards Privacy and Utility in Tourette TIC Detection Through Pretraining Based on Publicly Available Video Data of Healthy Subjects. ICASSP 2023: 1-5 - [c18]Markus Bertl, Yngve Lamo, Martin Leucker, Tiziana Margaria, Esfandiar Mohammadi, Suresh Kumar Mukhiya, Ludwig Pechmann, Gunnar Piho, Fazle Rabbi:
Challenges for AI in Healthcare Systems. AISoLA (Selected Papers) 2023: 165-186 - [i18]Yara Schütt, Johannes Liebenow, Tanya Braun, Marcel Gehrke, Florian Thaeter, Esfandiar Mohammadi:
DPM: Clustering Sensitive Data through Separation. CoRR abs/2307.02969 (2023) - [i17]Moritz Kirschte
S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees. CoRR abs/2309.12041 (2023) - [i16]Johannes Liebenow, Timothy Imort, Yannick Fuchs, Marcel Heisel, Nadja Käding, Jan Rupp, Esfandiar Mohammadi:
A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices. CoRR abs/2309.12483 (2023) - [i15]Reyhane Attarian, Esfandiar Mohammadi, Tao Wang, Emad Heydari Beni:
MixFlow: Assessing Mixnets Anonymity with Contrastive Architectures and Semantic Network Information. IACR Cryptol. ePrint Arch. 2023: 199 (2023) - 2022
- [j4]Eike Petersen
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions. IEEE Access 10: 58375-58418 (2022) - [i14]Moritz Kirschte
Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale. CoRR abs/2211.02003 (2022) - 2021
- [i13]Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog:
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions. CoRR abs/2107.09546 (2021) - [i12]David M. Sommer, Lukas Abfalterer, Sheila Zingg, Esfandiar Mohammadi:
Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms. CoRR abs/2107.12957 (2021) - [i11]Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, Aniket Kate:
Divide and Funnel: a Scaling Technique for Mix-Networks. IACR Cryptol. ePrint Arch. 2021: 1685 (2021) - 2020
- [j3]Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, Aniket Kate:
Comprehensive Anonymity Trilemma: User Coordination is not enough. Proc. Priv. Enhancing Technol. 2020(3): 356-383 (2020)
2010 – 2019
- 2019
- [j2]David M. Sommer, Sebastian Meiser, Esfandiar Mohammadi:
Privacy Loss Classes: The Central Limit Theorem in Differential Privacy. Proc. Priv. Enhancing Technol. 2019(2): 245-269 (2019) - [c17]David M. Sommer, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, Srdjan Capkun:
Deniable Upload and Download via Passive Participation. NSDI 2019: 649-666 - [i10]Damien Desfontaines, Elisabeth Krahmer, Esfandiar Mohammadi:
Passive and active attackers in noiseless privacy. CoRR abs/1905.00650 (2019) - 2018
- [c16]Sebastian Meiser, Esfandiar Mohammadi:
Tight on Budget?: Tight Bounds for r-Fold Approximate Differential Privacy. CCS 2018: 247-264 - [c15]David M. Sommer, Sebastian Meiser, Esfandiar Mohammadi:
PrivacyBuDe: Privacy Buckets Demo Tight Differential Privacy Guarantees made Simple. CCS 2018: 2192-2194 - [c14]Debajyoti Das
Anonymity Trilemma: Strong Anonymity, Low Bandwidth Overhead, Low Latency - Choose Two. IEEE Symposium on Security and Privacy 2018: 108-126 - [i9]David M. Sommer, Esfandiar Mohammadi, Sebastian Meiser:
Privacy Loss Classes: The Central Limit Theorem in Differential Privacy. IACR Cryptol. ePrint Arch. 2018: 820 (2018) - 2017
- [c13]David M. Sommer, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, Srdjan Capkun:
CoverUp: Privacy Through "Forced" Participation in Anonymous Communication Networks. AsiaCCS 2017: 3 - [i8]David M. Sommer, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, Srdjan Capkun:
CoverUp: Privacy Through "Forced" Participation in Anonymous Communication Networks. IACR Cryptol. ePrint Arch. 2017: 191 (2017) - [i7]Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, Aniket Kate:
Anonymity Trilemma: Strong Anonymity, Low Bandwidth Overhead, Low Latency - Choose Two. IACR Cryptol. ePrint Arch. 2017: 954 (2017) - [i6]Sebastian Meiser, Esfandiar Mohammadi:
Ratio Buckets: A Numeric Method for r-Fold Tight Differential Privacy. IACR Cryptol. ePrint Arch. 2017: 1034 (2017) - 2016
- [b1]Esfandiar Mohammadi:
Abstracting cryptographic protocols. Saarland University, 2016 - [j1]Michael Backes, Aniket Kate, Praveen Manoharan
AnoA: A Framework for Analyzing Anonymous Communication Protocols. J. Priv. Confidentiality 7(2) (2016) - [c12]Michael Backes, Robert Künnemann, Esfandiar Mohammadi:
Computational Soundness for Dalvik Bytecode. CCS 2016: 717-730 - [i5]Michael Backes, Robert Künnemann, Esfandiar Mohammadi:
Computational Soundness for Dalvik Bytecode. CoRR abs/1608.04362 (2016) - 2015
- [c11]Michael Backes, Simon Koch, Sebastian Meiser, Esfandiar Mohammadi, Christian Rossow:
POSTER: In the Net of the Spider: Measuring the Anonymity-Impact of Network-level Adversaries Against Tor. CCS 2015: 1626-1628 - [c10]Michael Backes, Fabian Bendun, Matteo Maffei, Esfandiar Mohammadi, Kim Pecina:
Symbolic Malleable Zero-Knowledge Proofs. CSF 2015: 412-426 - [c9]Michael Backes, Esfandiar Mohammadi, Tim Ruffing
Computational Soundness for Interactive Primitives. ESORICS (1) 2015: 125-145 - 2014
- [c8]Michael Backes, Aniket Kate, Sebastian Meiser, Esfandiar Mohammadi:
(Nothing else) MATor(s): Monitoring the Anonymity of Tor's Path Selection. CCS 2014: 513-524 - [c7]Michael Backes, Praveen Manoharan
TUC: Time-Sensitive and Modular Analysis of Anonymous Communication. CSF 2014: 383-397 - [c6]Michael Backes, Esfandiar Mohammadi, Tim Ruffing
Computational Soundness Results for ProVerif - Bridging the Gap from Trace Properties to Uniformity. POST 2014: 42-62 - [i4]Michael Backes, Aniket Kate, Praveen Manoharan, Sebastian Meiser, Esfandiar Mohammadi:
AnoA: A Framework For Analyzing Anonymous Communication Protocols. IACR Cryptol. ePrint Arch. 2014: 87 (2014) - [i3]Michael Backes, Aniket Kate, Sebastian Meiser, Esfandiar Mohammadi:
(Nothing else) MATor(s): Monitoring the Anonymity of Tor's Path Selection. IACR Cryptol. ePrint Arch. 2014: 621 (2014) - 2013
- [c5]Michael Backes, Aniket Kate, Praveen Manoharan
AnoA: A Framework for Analyzing Anonymous Communication Protocols. CSF 2013: 163-178 - [c4]Michael Backes, Dario Fiore, Esfandiar Mohammadi:
Privacy-Preserving Accountable Computation. ESORICS 2013: 38-56 - [i2]Michael Backes, Praveen Manoharan, Esfandiar Mohammadi:
TUC: Time-sensitive and Modular Analysis of Anonymous Communication. IACR Cryptol. ePrint Arch. 2013: 664 (2013) - 2012
- [c3]Michael Backes, Ian Goldberg, Aniket Kate, Esfandiar Mohammadi:
Provably Secure and Practical Onion Routing. CSF 2012: 369-385 - [c2]Michael Backes, Aniket Kate, Esfandiar Mohammadi:
Ace: an efficient key-exchange protocol for onion routing. WPES 2012: 55-64 - 2011
- [i1]Michael Backes, Ian Goldberg, Aniket Kate, Esfandiar Mohammadi:
Provably Secure and Practical Onion Routing. IACR Cryptol. ePrint Arch. 2011: 308 (2011) - 2010
- [c1]Michael Backes, Matteo Maffei, Esfandiar Mohammadi:
Computationally Sound Abstraction and Verification of Secure Multi-Party Computations. FSTTCS 2010: 352-363
Coauthor Index
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